Scholar

Usha Bhalla

Google Scholar ID: 8xZrwdsAAAAJ

Ph.D. Student, Harvard University

Machine Learning Interpretability

Homepage↗Google Scholar↗

Citations & Impact

All-time

Citations

143

H-index

5

i10-index

3

Publications

13

Co-authors

0

Contact

No contact links provided.

Publications

9 items

Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds

2026

Cited

0

Anatomy of Post-Training: Using Interpretability to Characterize Data and Shape the Learning Signal

2026

Cited

0

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior

2026

Cited

0

Arithmetic in the Wild: Llama uses Base-10 Addition to Reason About Cyclic Concepts

2026

Cited

0

Do Sparse Autoencoders Capture Concept Manifolds?

2026

Cited

0

RippleBench: Capturing Ripple Effects Using Existing Knowledge Repositories

2025

Cited

0

Interpretability Illusions with Sparse Autoencoders: Evaluating Robustness of Concept Representations

2025

Cited

0

Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution

2025

Cited

0

Resume (English only)

Co-authors

0 total

Co-authors: 0 (list not available)